While it will be months before we have the full reports on what transpired and caused the 737 MAX crashes and results from the congressional hearings as to how the aircraft was certified and developed, we don’t have to wait for those results to draw lessons from them.
We’ve examined several important reminders that all businesses and developers need to carefully consider to make sure that they are not treading down a similar path with their own systems.
The question you should now be asking is what compromises are you currently making and what actions are you going to take today to make sure they don’t result in your own fiasco tomorrow.
Source: 5 Lessons to Learn from the Boeing 737 MAX Fiasco | Design News
The importance of being able to make data-driven hypotheses and decisions for all scientists and technicians in life sciences, bio-pharmaceutical, food science or other R&D disciplines is paramount, and R&D labs can now harness the benefits of advanced AI tools to do this, accomplishing in mere seconds or minutes what once took weeks or months.
Leveraging the unique capabilities of AI to accelerate this journey, however, starts with an understanding of the current state of scientific and operational data in the laboratory.
Here are five steps to help transition towards an AI-rich, Lab of the Future with confidence …
Source: Getting Labs Ready for AI—Five Things to Consider
From environmental disasters to financial crashes and political shocks, we live in a world that is increasingly difficult to predict. It’s a fact that is compounded by the accelerating pace of change of the digital age.
And yet, against this backdrop, businesses need to be able to make decisions and make them quickly.
Making the right choice requires a company to understand every aspect of its business—in the past, the present, and the future—and to recognize the value of the data available to them and what it tells them about their business.
Ultimately, the aim of analytics within the enterprise should therefore not simply be to report on what has been, but to enable everyone at every level of an organization to make decisions with confidence.
Source: From Augmented Analytics to Confident Decisions
The concept of the Digital Twin is still evolving but it is powerful and self-evident enough that most manufacturers believe that they need it. Leading organizations expect that digital twins will help them deliver better products, services, and experiences to their customers, at lower costs than are currently possible.
As digital replicas of physical (or cyber-physical) products, digital twins should act as crystal balls allowing engineering teams to understand how their products will behave and respond to real-world use and abuse, long before that information is needed.
As manufacturers move from selling products to increasingly offering product-based services, the lifespan and total lifecycle costs of their devices become more critical.
If you can produce less expensively, then naturally your profit margins are higher. And here is the key to using a digital twin to improve your competitive position.
Source: Start Now: Profiting From the Digital Twin Can Take Time
Suffering through a nightmarish start to 2019, Casa Systems reported nearly a 60% drop in revenues for the first quarter on a year-over-year basis as sales of its cable, telco and wireless network access products and services collapsed across the board.
Overall company revenues plunged to just $35.5 million in the winter quarter, down from $89.1 million a year earlier, leading to the company to post its first quarterly loss in a decade.
“The first quarter was one of our toughest quarters,” said Casa President & CEO Jerry Guo in a bit of an understatement on a sober earnings call with analysts Wednesday evening. “We are extremely disappointed with the results.”
Source: Casa Systems Sees Bottom Fall Out in Q1 | Light Reading
3D printers have ushered in a new revolution for a myriad of industries, including automotive, manufacturing, aerospace, agriculture, and construction. The same can be said about the energy industry, with more plants and power generators turning to 3D printers as an invaluable tool for prototyping and production.
Additive manufacturing has allowed the power industry to produce complex components, use fewer materials, reduce waste, and lower energy consumption — leading to higher production efficiency and a smaller carbon footprint.
According to a recent report from GlobalData, additive manufacturing has a myriad of applications, including conventional power, rechargeable batteries, solar panels, wind/gas turbines, and more.
In this roundup, we will take a look at some of the exciting ways the power industry has used the versatile technology.
Source: 3D Printers Revolutionize Energy | EE Times
In the world of satellite communications, several technology trends stand out, including higher bandwidth, spectrum reuse, and the application of complex modulation formats. Higher bandwidths allow higher maximum single-channel data-transmission speeds and, at the same time, increase the overall system capacity, thus expanding the number of available channels.
Multiple channels are multiplexed together, creating a signal with higher bandwidth that is sent in a single channel through a single transponder.
The so-called reuse of the spectrum is a practical technique thanks to the use of transmission systems that emit particularly concentrated beams destined for limited geographical areas. The possibility of generating this type of signal beam makes it possible to focus more power instantly in the areas in high demand.
Source: Spacecraft communications call for sophisticated data-transmission techniques | EE Times
In the past four months alone, 40 Taiwanese companies with significant operations in China have decided to leave the mainland. The movement, sometimes described in Taiwan as “the salmon run,” hardly amounts to an exodus. Yet, it is a milestone for Taiwan after more than fifteen years of its government trying to lure these firms back from China.
Those who announced their departure from China have pledged to invest more than NT$200 billion (US$6.47 billion) in Taiwan, according to the Ministry of Economic Affairs in Taipei. More firms are expected to follow, the Ministry said.
Meanwhile, more companies are suspected to have already returned – without fanfare.
Source: Taiwan Tech Homeward Bound from China | EE Times
In real-time continuous learning, unobservable factors may exist in the use model or environment or observable factors may change over time. The uncertainty requires an ability to detect anomalies and adapt quickly.
However, we must ensure systems adapt in a stable way and we know when things change. So, we need formal verification processes to ensure stable learning and robust reactions to unexpected inputs.
Source: AI Challenges for Next-Gen EDA | EE Times
In a crowded presentation at the AI Expo event here, Facebook Engineering Manager Aditya Kalro described the challenges of rolling out AI at the scale required by the social media behemoth.
Kalro described a major push for AI across all the different Facebook products, but it’s used primarily for personalization of the news feed for all 2.7 billion users. A single user simply logging into their account immediately generates 70 or 80 predictions, he said.
Around 200 trillion predictions are carried out every day, in the form of face recognition in photos, what content should be seen, advertisement placement, etc.
Source: Machine Learning Challenges at Facebook Scale | EE Times